Integrated characterization and optimization approach for groundwater engineering systems
Abstract/Contents
- Abstract
- As the reliability of water supply is threatened by climate change, increasing demand and potential contamination, sustainable management of groundwater resources is more important than ever. The current crisis calls for the development of a systematic and integrated management approach that employs a predictive modeling of complex subsurface physical, chemical and biological processes, utilizes a large volume of hydrogeological and geophysical measurements for accurate subsurface characterization, quantifies uncertainty regarding model prediction, and makes a series of optimal decisions for economic and reliable aquifer management plans. In this dissertation, I make contributions in three important topics, which are pivotal components of integrated groundwater resources management: groundwater flow modeling tailored for managed aquifer recharge and recovery, subsurface characterization methods using various types of measurements, and dual control strategy for remediation design. First, variably saturated groundwater flow modeling with a commercial software, FEFLOW, is presented especially designed for managed aquifer recharge and recovery (MAR) projects. This modeling approach is then used to design and construct an intermediate-scale laboratory aquifer at the Center for Experiment Study of Subsurface Environmental Processes at Colorado School of Mines, Colorado, which aims at testing and validating an integrated sensor-based MAR management framework. Next, a computationally efficient stochastic inversion approach, Principal Component Geostatistical Approach, is introduced to characterize large-scale subsurface properties with various types of measurements. Then, a novel subsurface characterization method, Bayesian total variation inversion approach, is developed with an emphasis on the discrete geologic feature identification. Lastly, an integrated simulation-optimization program tool, Stochastic Cost Optimization Toolkit (SCOTOOLKIT), is applied for the reliable and cost-efficient remediation plans to a DNAPL contaminated area at a U.S. Air Force Base in Dover, Delaware.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2014 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Lee, Jonghyun |
|---|---|
| Associated with | Stanford University, Department of Civil and Environmental Engineering. |
| Primary advisor | Kitanidis, P. K. (Peter K.) |
| Thesis advisor | Kitanidis, P. K. (Peter K.) |
| Thesis advisor | Freyberg, David L |
| Thesis advisor | Knight, Rosemary (Rosemary Jane), 1953- |
| Advisor | Freyberg, David L |
| Advisor | Knight, Rosemary (Rosemary Jane), 1953- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Jonghyun Lee. |
|---|---|
| Note | Submitted to the Department of Civil and Environmental Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2014. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2014 by Jonghyun Lee
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...